{"id":"https://openalex.org/W1991957880","doi":"https://doi.org/10.1145/2514601.2514612","title":"Legal documents categorization by compression","display_name":"Legal documents categorization by compression","publication_year":2013,"publication_date":"2013-06-10","ids":{"openalex":"https://openalex.org/W1991957880","doi":"https://doi.org/10.1145/2514601.2514612","mag":"1991957880"},"language":"en","primary_location":{"id":"doi:10.1145/2514601.2514612","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2514601.2514612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2318/135584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069505458","display_name":"Antonio Mastropaolo","orcid":"https://orcid.org/0000-0002-7965-7712"},"institutions":[{"id":"https://openalex.org/I4210133595","display_name":"University of Aosta Valley","ror":"https://ror.org/03126ng80","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210133595"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Antonio Mastropaolo","raw_affiliation_strings":["Universit\u00e0 di Aosta, Strada Cappuccini, Aosta, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Aosta, Strada Cappuccini, Aosta, Italy","institution_ids":["https://openalex.org/I4210133595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023961398","display_name":"Francesco Pallante","orcid":"https://orcid.org/0000-0003-4707-3250"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Pallante","raw_affiliation_strings":["Universit\u00e0 di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Torino, Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006446756","display_name":"Daniele P. Radicioni","orcid":"https://orcid.org/0000-0003-0443-7720"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele P. Radicioni","raw_affiliation_strings":["Universit\u00e0 di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Torino, Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069505458"],"corresponding_institution_ids":["https://openalex.org/I4210133595"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.06915923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7169458866119385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6322470903396606},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4644112288951874},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46163368225097656},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42479410767555237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37052851915359497},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0871698260307312}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7169458866119385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6322470903396606},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4644112288951874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46163368225097656},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42479410767555237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37052851915359497},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0871698260307312},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2514601.2514612","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2514601.2514612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.353.789","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.353.789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.di.unito.it/~radicion/papers/mastropaolo13classification.pdf","raw_type":"text"},{"id":"pmh:oai:iris.unito.it:2318/135584","is_oa":true,"landing_page_url":"http://hdl.handle.net/2318/135584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400637","display_name":"Institutional Research Information System University of Turin (University of Turin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55143463","host_organization_name":"University of Turin","host_organization_lineage":["https://openalex.org/I55143463"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unito.it:2318/135584","is_oa":true,"landing_page_url":"http://hdl.handle.net/2318/135584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400637","display_name":"Institutional Research Information System University of Turin (University of Turin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55143463","host_organization_name":"University of Turin","host_organization_lineage":["https://openalex.org/I55143463"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W304239299","https://openalex.org/W1512098439","https://openalex.org/W1514981065","https://openalex.org/W1553273090","https://openalex.org/W1566376227","https://openalex.org/W1585280831","https://openalex.org/W1604938182","https://openalex.org/W1646816143","https://openalex.org/W1953638699","https://openalex.org/W1969203620","https://openalex.org/W1974927094","https://openalex.org/W1977155386","https://openalex.org/W2002178444","https://openalex.org/W2025139391","https://openalex.org/W2050223480","https://openalex.org/W2071327314","https://openalex.org/W2072994259","https://openalex.org/W2084268194","https://openalex.org/W2105298111","https://openalex.org/W2107745473","https://openalex.org/W2108347737","https://openalex.org/W2128859735","https://openalex.org/W2144221002","https://openalex.org/W2164798233","https://openalex.org/W2166064672","https://openalex.org/W2171886309","https://openalex.org/W2273354198","https://openalex.org/W2435251607","https://openalex.org/W2596791748","https://openalex.org/W2741241930","https://openalex.org/W2953900399","https://openalex.org/W4256361765","https://openalex.org/W6684605364"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0,113,146],"this":[1,48,147],"paper":[2],"we":[3,23,30,157,169,204],"investigate":[4],"how":[5],"to":[6,45,85,101],"categorize":[7],"text":[8,15,81],"excerpts":[9],"from":[10,198],"Italian":[11,41],"normative":[12],"texts.":[13],"Although":[14],"categorization":[16,78],"is":[17,49,83,187],"a":[18,26,62,72,87,96,125,201],"problem":[19,133,215],"of":[20,37,64,79,98,128,178,184,192],"broader":[21],"interest,":[22],"single":[24],"out":[25],"specific":[27],"issue.":[28],"Namely,":[29],"are":[31,43,120],"concerned":[32],"with":[33,95,189,227],"categorizing":[34],"the":[35,50,116,132,176,190,210,214],"set":[36,63,127],"subjects":[38,65,119],"in":[39,59,71,115],"which":[40],"Regions":[42],"allowed":[44],"produce":[46],"norms:":[47],"so-called":[51],"residual":[52,73],"legislative":[53],"power":[54],"problem.":[55],"It":[56],"basically":[57],"consists":[58],"making":[60],"explicit":[61],"that":[66,206,220],"was":[67],"originally":[68],"defined":[69],"only":[70],"and":[74,108,124,174,218,230],"negative":[75],"fashion.":[76],"The":[77],"legal":[80],"fragments":[82],"acknowledged":[84],"be":[86,224],"difficult":[88],"problem,":[89],"featured":[90],"by":[91,104,109],"abstract":[92],"concepts":[93],"along":[94],"variety":[97],"locutions":[99],"used":[100],"denote":[102],"them,":[103],"convoluted":[105],"sentence":[106],"structure,":[107],"several":[110],"other":[111],"facets.":[112],"addition,":[114],"present":[117],"case":[118],"often":[121],"partially":[122],"overlapped,":[123],"training":[126],"sufficient":[129],"size":[130],"(for":[131],"under":[134],"consideration)":[135],"does":[136],"not":[137],"exist:":[138],"all":[139],"these":[140,221],"aspects":[141],"make":[142],"our":[143,182],"task":[144],"challenging.":[145],"setting,":[148],"classical":[149],"feature-based":[150],"approaches":[151,222],"provide":[152,209],"poor":[153],"quality":[154],"results,":[155],"so":[156],"explored":[158],"algorithms":[159,186],"based":[160],"on":[161],"compression":[162],"techniques.":[163],"We":[164],"tested":[165],"three":[166],"such":[167,185],"techniques:":[168],"illustrate":[170],"their":[171],"main":[172],"features":[173],"report":[175],"results":[177,212],"an":[179],"experimentation":[180],"where":[181],"implementation":[183],"compared":[188],"output":[191],"standard":[193],"machine":[194],"learning":[195],"algorithms.":[196],"Far":[197],"having":[199],"found":[200],"silver":[202],"bullet,":[203],"show":[205],"compression-based":[207],"techniques":[208],"best":[211],"for":[213],"at":[216],"hand,":[217],"argue":[219],"can":[223],"effectively":[225],"coupled":[226],"more":[228],"informative":[229],"semantically":[231],"grounded":[232],"ones.":[233]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}